- A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning
- Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
- Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
- TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs
- Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
- Generative Subgraph Retrieval for Knowledge Graph--Grounded Dialog Generation
- Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
- MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
- Knowledge Graph Enhanced Large Language Model Editing
- Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
- MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
- Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion
- ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models
- Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning
- TimeR$^4$ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
- CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
- Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
- Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
- MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering
- Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
- Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
- Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
- StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning
- XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
- Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
- Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations
- Enhancing High-order Interaction Awareness in LLM-based Recommender Model
- Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction
- Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement
- An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models
- On Fake News Detection with LLM Enhanced Semantics Mining
- Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
- DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
- Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
- DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
- LLMs Are Prone to Fallacies in Causal Inference
- CELLO: Causal Evaluation of Large Vision-Language Models
- Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training
- Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification
- Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
- Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
- CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
- Leveraging Context-Aware Prompting for Commit Message Generation
- Bridging Local Details and Global Context in Text-Attributed Graphs
- The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations
- CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
- Inference Helps PLMs' Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs